微调Fine-tuning
Fine-tuning
解决什么问题What problem it solves
拿一个已有的模型，用你自己的数据继续训练，让它更懂你的领域。Teach an existing model a specific task or style, rather than describing the task in the prompt.
这是什么What it is
在已有模型的权重基础上继续训练，通常用较少的数据和时间。
它和「提示词」是两种不同手段：提示词改行为，微调改能力倾向。
Further training of an already-trained model on task-specific data, changing its weights rather than its instructions.
为什么需要知道Why it matters
多数场景你不需要微调。先用提示词和 RAG，不够再考虑微调。两者成本差一个量级。It can beat prompting for a narrow task, but it costs more and is harder to maintain. Prompting first is usually the right order.
现在能做什么What you can do now
回到名词地图看第2站的其他 35 个词 →Back to the map: the other 35 terms in station 2 →